Earlier today we announced some changes that will accelerate our progress in AI and help us develop more capable AI systems safely and responsibly. Below is a recap of what DeepMind CEO Demis Hassabis shared with employees: Hi Team When we launched DeepMind back in 2010, many people thought general AI was a farfetched science …
Despite the AI hype, many tech companies still rely heavily on machine learning to power critical applications, from personalized recommendations to fraud detection. I’ve seen firsthand how undetected drifts can result in significant costs — missed fraud detection, lost revenue, and suboptimal business outcomes, just to name a few. So, it’s crucial to have robust …
How to Spot and Prevent Model Drift Before it Impacts Your Business Read More »
Responsibility & Safety Published 24 April 2023 Authors Iason Gabriel and Kevin McKee Drawing from philosophy to identify fair principles for ethical AI As artificial intelligence (AI) becomes more powerful and more deeply integrated into our lives, the questions of how it is used and deployed are all the more important. What values guide AI? …
“Conduct a comprehensive literature review on the state-of-the-art in Machine Learning and energy consumption. […]” With this prompt, I tested the new Deep Research function, which has been integrated into the OpenAI o3 reasoning model since the end of February — and conducted a state-of-the-art literature review within 6 minutes. This function goes beyond a normal web …
Deep Research by OpenAI: A Practical Test of AI-Powered Literature Review Read More »
Join Nolan Fortman and Logan Kilpatrick for a deep dive on the world of coding with GitHub CEO Thomas Dohmke. We chat about: – Personal software creation using AI – Open source in the age of AI – AI enabling coding changing how developers work and much more! Thomas is leading the charge for one …
An unfiltered conversation with Thomas Dohmke, CEO of GitHub Read More »
Research towards AI models that can generalise, scale, and accelerate science Next week marks the start of the 11th International Conference on Learning Representations (ICLR), taking place 1-5 May in Kigali, Rwanda. This will be the first major artificial intelligence (AI) conference to be hosted in Africa and the first in-person event since the start …
Introduction In a YouTube video titled Deep Dive into LLMs like ChatGPT, former Senior Director of AI at Tesla, Andrej Karpathy discusses the psychology of Large Language Models (LLMs) as emergent cognitive effects of the training pipeline. This article is inspired by his explanation of LLM hallucinations and the information presented in the video. You might have seen …
Responsibility & Safety Published 25 May 2023 Authors Toby Shevlane New research proposes a framework for evaluating general-purpose models against novel threats To pioneer responsibly at the cutting edge of artificial intelligence (AI) research, we must identify new capabilities and novel risks in our AI systems as early as possible. AI researchers already use a …
1. Introduction Ever since the introduction of the self-attention mechanism, Transformers have been the top choice when it comes to Natural Language Processing (NLP) tasks. Self-attention-based models are highly parallelizable and require substantially fewer parameters, making them much more computationally efficient, less prone to overfitting, and easier to fine-tune for domain-specific tasks [1]. Furthermore, the …
Vision Transformers (ViT) Explained: Are They Better Than CNNs? Read More »
Impact Published 7 June 2023 Authors Daniel J. Mankowitz and Andrea Michi New algorithms will transform the foundations of computing Digital society is driving increasing demand for computation, and energy use. For the last five decades, we relied on improvements in hardware to keep pace. But as microchips approach their physical limits, it’s critical to …
